Harnessing AI Assistants for Enhanced Radiology: Risk Assessment, Early Degeneration Detection, and Holistic Patient Care
Abstract: Artificial Intelligence (AI) has emerged as a transformative force in the field of radiology, offering unprecedented opportunities to enhance diagnostic accuracy, streamline workflows, and improve patient outcomes. This study explores the application of AI assistants in assessing risks and forecasting early indicators of degeneration, enabling more precise and timely diagnoses. By empowering radiologists with AI - driven tools, we aim to save time, reduce burnout, and ultimately elevate the quality of patient care. Our AI system demonstrates the ability to interpret scan reports, identify abnormalities on imaging, and provide comprehensive support to doctors and patients. This includes generating holistic care plans encompassing diagnosis, recommendations, dietary suggestions, and personalized recovery strategies. The technical aspects of our AI implementation are discussed, highlighting the innovative approaches employed to achieve seamless integration and optimal performance. The results underscore the immense potential of AI in revolutionizing radiological practices, fostering a new era of data - driven, patient - centric care
Keywords: Artificial Intelligence, Radiology, Risk Assessment, Early Degeneration Detection, Holistic Patient Care, Medical Imaging
How to Cite?: Durga Prasad Amballa, "Harnessing AI Assistants for Enhanced Radiology: Risk Assessment, Early Degeneration Detection, and Holistic Patient Care", Volume 12 Issue 1, January 2023, International Journal of Science and Research (IJSR), Pages: 1268-1272, https://www.ijsr.net/getabstract.php?paperid=SR24517214413, DOI: https://dx.doi.org/10.21275/SR24517214413